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Elementary Teacher Perceptions of Evaluation Methods about Suitability and Usefulness in Software Education

SW교육 평가 방법의 적합성 및 현장 유용성에 대한 초등교사 인식 분석

  • Received : 2017.03.22
  • Accepted : 2017.05.05
  • Published : 2017.06.30

Abstract

The purpose of this study is to analyze the teachers' perceptions about the various evaluation methods used in SW education and to find ways to improve the usefulness of the field. To do this, we surveyed the teachers who were educated about SW education evaluation. As a result of the study, it was recognized that the use of output, portfolio, and observation evaluation in SW education class is suitable for evaluating Computational Thinking(CT) and useful for field application. On the other hand, paper and self-evaluation are useful for field application, but they are relatively inadequate to evaluate CT. Portfolio, design, and interview evaluations are good for measuring CT, but they are difficult to apply to the field. Also, evaluation criteria, evaluation factors, and strategies were found to be difficult to apply. Therefore, we suggest the necessary measures to apply SW education evaluation method more effectively.

본 연구의 목적은 SW교육에서 활용되고 있는 다양한 평가 방법들에 대해 교사들의 인식을 분석하여 현장 유용성을 높일 수 있는 방안을 모색하는 것에 있다. 이를 위해 SW교육 평가 관련 연수 및 교육을 받은 교사들을 대상으로 설문하였다. 연구 결과, SW교육 수업에서 산출물, 포트폴리오, 관찰 평가를 사용하는 것은 Computational Thinking(CT)을 평가하기에 적절하며 현장 적용에도 유용하다는 인식이 컸다. 반면, 지필평가와 자기평가는 현장에 적용하기에는 유용하나, CT를 평가하기에는 상대적으로 부족하며, 포트폴리오, 디자인, 그리고 인터뷰 평가는 CT를 측정하기에는 적합하나 현장 적용은 어렵다고 응답했다. 끝으로, 평가 수행 시에는 평가 기준, 평가 요소, 그리고 평가 전략 순으로 어려움이 있다고 인식하였다. 본 연구에서는 이러한 결과를 기초로 SW교육 평가방법을 현장에 효과적으로 적용하기 위해 고려해야할 방안들을 제언하였다.

Keywords

References

  1. Bebras challenge(2017). http://bebras.org. Retrieved: 2017.02.28.
  2. Bienkowski, M., Snow, E., Rutstein, D. W., & Grover, S. (2015). Assessment Design Patterns for Computational Thinking Practices in Secondary Computer Science: A first look (SRI technical report). Menlo Park, CA: SRI International.
  3. Department for Education of United Kingdom (2013). National curriculum in England: computing programmes of study.
  4. Drscratch(2017). http://drscratch. Retrieved: 2017.02.28.
  5. Eunbok Lee, Okhwa Lee, Soonsun. Jang(2015). The Feasibility Study of the Use of Self-evaluation and Peer-evaluation in a Computer Practice Class at Higher Education. The Journal of Educational Information and Media, 21(1), 65-89.
  6. Hansung. Kim, Hyejin Chung, Wongyu. Lee(2010). A Comparative Study of High School Informatics Curriculum Between Korea and Japan. Korean Journal of Comparative Education, 20(4), 129-151.
  7. Hyungsin. Choi(2014). Developing Lessons and Rubric to Promote Computational Thinking. Journal of The Korean Association of Information Education, 18(1), 57-64. https://doi.org/10.14352/jkaie.2014.18.1.57
  8. IEA(2017). The IEA's International Computer and Information Literacy Study(ICILS) 2018, IEA. http://www.iea.nl/icils. Retrieved : 2017.02.28.
  9. Jeongmin. Lee, Woochun. Jun(2006). Development of Electronic Portfolio Assessment Processing Model in Elementary ICT Application Education. Journal of The Korea Association of Information Educational. 10(1), 1-11.
  10. K. Brennan, C. Balch, M. Chung(2014). Creative Computing. Harvard Graduate School of Education, Boston.
  11. KERIS(2015). A Study on the Effectiveness of the SW Education School. KERIS.
  12. KERIS(2016). Measuring the ICT literacy Level for Elementary and Middle School Students on National Level. KERIS.
  13. MOE(2015). 2015 Revised National Primary and Middle School Curriculum. Korean Ministry of Education.
  14. MOE (2015). Software Education Guidance. Korean Ministry of Education.
  15. MOE(2016). Press release: Basic plan for activating software education. Released: 2016.12.02.
  16. Seonghun. Ahn(2016). Development of SW Program Assesment Indicator for SW Education in Elementary and Middle School. The Journal of Korean association of computer education, 19(4), 11-20.
  17. Seonwon. Seo, Euijeong. Kim(2009). An Analysis of the Characteristics of the Information Science Gifted Students Through Observation Evaluation. Journal of Korea Institute of Information and Communication Engineering. 13(9), 1973-1979.
  18. Seungwoo. Kang, Wonyoung. Chang, Sungsik. Kim(2016). Study of student's self-assessment for the Computational Thinking in 2015 Informatics Curriculum, Proceedings in the Conference of The Korean Association of Computer Education, 20(2), 15-18.
  19. Soohwan. Kim(2016). Development of Scratch Code Analysis System for Assessment about Concepts of Computational Thinking. The Journal of Korean association of computer education, 18(6), 13-22.
  20. Soojin. Jun(2015). Assessing the ability of computational thinking for elementary school students. Korea University Doctoral Thesis.
  21. Youngsik. Jung et al.(2015). A Development of the Software Education Curriculum Model for Elementary Students. Journal of The Korea Association of Information Education, 19(4), December 2015, pp. 467-480. https://doi.org/10.14352/jkaie.2015.19.4.467
  22. Yujin. Ha(2006). Study on the Actual Condition of Observational Assessment in Middle and High Schools. Master Degree paper. Ewha Womans University.

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